Title :
Edge grouping by using orientation information
Author :
Zhang, L. ; D´Haeyer, J. ; Bruyland, I.
Author_Institution :
Commun. Eng. Lab., Ghent Univ., Belgium
Abstract :
The edge is an important feature required by many computer vision tasks. One crucial step of edge or line detection is grouping. Local orientation in a gray scale image provides an important clue for grouping. An algorithm, used for edge or grouping based on the local orientation information, is proposed. The results are shown, and compared with a well-known transform
Keywords :
computer vision; edge detection; algorithm; computer vision; edge grouping; gray scale image; line detection; local image orientation; local orientation information; transform; Application software; Computer vision; Data mining; Feature extraction; Image edge detection; Information processing; Laboratories; Object detection; Pixel; Shape;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566532
